SeniorDataEngineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to … making across every area of the business from supply chain and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a SeniorDataEngineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role … As a SeniorDataEngineer, youll play a key role in designing, building, and optimising scalable data pipelines and solutions on Microsoft Azure. Youll work closely with Data Architects, Analysts, and stakeholders in the business to expand the current data platform which already powers sales and performance dashboards into a holistic, enterprise-wide ecosystem. More ❯
SeniorDataEngineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to … making across every area of the business from supply chain and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a SeniorDataEngineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role … As a SeniorDataEngineer, youll play a key role in designing, building, and optimising scalable data pipelines and solutions on Microsoft Azure. Youll work closely with Data Architects, Analysts, and stakeholders in the business to expand the current data platform which already powers sales and performance dashboards into a holistic, enterprise-wide ecosystem. More ❯
Job Title: SeniorDataEngineer Base Location: London OR Glasgow based (Hybrid 2 days per week in office) The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team … and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join the KPMG Tax & Legal Technology Engineering team as SeniorDataEngineer We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. Theres the … technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression. What will you be doing? We are seeking a SeniorDataEngineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and More ❯
SeniorData Integration Engineer Location: London, UK Team: Data & Technology Ready to help shape the future of aviation through data? We are looking for a hands-on SeniorData Integration Engineer to join a fast-paced technical programme. This is a delivery-focused role not a consultancy or leadership position ideal for … someone who thrives on solving complex data challenges and building robust, scalable integrations across cloud-native platforms. What Youll Be Doing Analyse and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). … Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. Troubleshoot integration issues end-to-end and drive continuous improvement. Champion standardisation of integration patterns and documentation. What Youll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. More ❯
SeniorData Integration Engineer Location: London, UK Team: Data & Technology Ready to help shape the future of aviation through data? We are looking for a hands-on SeniorData Integration Engineer to join a fast-paced technical programme. This is a delivery-focused role not a consultancy or leadership position ideal for … someone who thrives on solving complex data challenges and building robust, scalable integrations across cloud-native platforms. What Youll Be Doing Analyse and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). … Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. Troubleshoot integration issues end-to-end and drive continuous improvement. Champion standardisation of integration patterns and documentation. What Youll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. More ❯
Lead DataEngineer - London - Hybrid - 85,000 - 90,000 My client is seeking a highly skilled Lead DataEngineer to join their agile data team in London. This hybrid position requires 3 days per week in the office, offering the opportunity to lead a small team while remaining technically hands-on. The role is … days annual leave plus buy and sell options Hybrid working: 3 days per week in London office And many more Role and Responsibilities Architect, develop, and continuously improve robust data pipelines to support large-scale data ingestion, transformation, and delivery. Utilize Azure and Databricks platforms to ensure high-throughput and reliable data movement across diverse data sources, enabling seamless integration, cleansing, and enrichment of data for analytics and reporting needs. Implement best practices for data pipeline orchestration, monitoring, and error handling to ensure consistent and dependable data flows. Optimize and fine-tune Azure-based data platforms by leveraging deep expertise in hybrid cloud architecture. Continuously assess and enhance data infrastructure More ❯
City of London, Greater London, UK Hybrid / WFH Options
Tenth Revolution Group
Lead DataEngineer - London - Hybrid - 85,000 - 90,000 My client is seeking a highly skilled Lead DataEngineer to join their agile data team in London. This hybrid position requires 3 days per week in the office, offering the opportunity to lead a small team while remaining technically hands-on. The role is … days annual leave plus buy and sell options Hybrid working: 3 days per week in London office And many more Role and Responsibilities Architect, develop, and continuously improve robust data pipelines to support large-scale data ingestion, transformation, and delivery. Utilize Azure and Databricks platforms to ensure high-throughput and reliable data movement across diverse data sources, enabling seamless integration, cleansing, and enrichment of data for analytics and reporting needs. Implement best practices for data pipeline orchestration, monitoring, and error handling to ensure consistent and dependable data flows. Optimize and fine-tune Azure-based data platforms by leveraging deep expertise in hybrid cloud architecture. Continuously assess and enhance data infrastructure More ❯
and control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a SeniorDataEngineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our … global analytics platform supporting Front Office Trading across commoditiesby building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines … and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks More ❯
and control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a SeniorDataEngineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our … global analytics platform supporting Front Office Trading across commoditiesby building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines … and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks More ❯
We're seeking a highly skilled and motivated SeniorDataEngineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake … and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical … workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD More ❯
Areti is seeking SeniorData Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start. YOU MUST BE DV OR SC CLEARED You will be working on a number of large Defence and Government projects and be given … the opportunity to lead a number of high-profile programs. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates … will have a skillset to include the following: Experience in working as a Data Scientist/DataEngineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for More ❯
building things properly and seeing your work make a visible impact, youll like this one. Youll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. Youll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You wont be stuck doing endless ad hoc reports. Youll build the foundations that make analysis and experimentation effortless for everyone else. What youll do Design, build, and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What youll bring 4+ years experience in data engineering More ❯
building things properly and seeing your work make a visible impact, youll like this one. Youll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. Youll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You wont be stuck doing endless ad hoc reports. Youll build the foundations that make analysis and experimentation effortless for everyone else. What youll do Design, build, and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What youll bring 4+ years experience in data engineering More ❯
